Description

This unit begins with an introduction to non-parametric testing and estimation, thus complementing normal based methods such as t-tests and one-way ANOVA. Much less needs to be assumed about the population distribution, and the way is opened to make comparisons of different tests for given hypotheses as the type of population distribution is altered. The unit addresses questions such as: When is a t-test the best test? Are there tests which work well for any type of population distribution? The remainder of the unit treats a selection from topics such as Bayesian statistical methods; large sample behaviour for point and interval estimation; decision theory and Bayes estimation.

For more info see the Handbook: http://handbooks.uwa.edu.au/units/stat/stat7441

Assessment

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.